Name: 這是軟件工程師的末日嗎？ (Is This the end of Software Engineers?)
Uploaded: 2025-05-01T22:12:19.000Z
Duration: 8 min 9 s

基礎被動語態

For years, being a software developer was considered the best job in the U.S.

多年來，軟件開發人員一直被認為是美國最好的工作。

News & World Report is out with its annual ranking of best jobs, and for the first time in three years, a healthcare job does not top the list.

新聞與世界報道》（News & World Report）發佈了年度最佳工作排名，醫療保健工作三年來首次未名列榜首。

Software developer came in at number one.

A lot of them in the healthcare profession, but software developer nabbed number one.

其中很多人從事醫療保健行業，但軟件開發人員排名第一。

Exorbitant salaries, travel stipends, and flexible working hours made it seem like a dream job.

高額的薪水、差旅津貼和靈活的工作時間讓人覺得這是一份夢寐以求的工作。

But that era seems to have come to an end.

And then over time, we'll get to the point where a lot of the code in our apps, and including the AI that we generate, is actually going to be built by AI engineers instead of people engineers.

隨著時間的推移，我們的應用程序中的許多代碼，包括我們生成的人工智能，都將由人工智能工程師而不是人類工程師來構建。

That was the number of software developers in the United States in 2019.

這是 2019 年美國軟件開發人員的數量。

Bureau of Labor Statistics, this number was expected to grow by 22% until 2029.

根據勞工統計局的預測，到 2029 年，這一數字將增長 22%。

But the rapid advancement of AI in recent years was not anticipated.

但是，近年來人工智能的飛速發展是人們始料未及的。

As of 2025, not only have the job positions for software developers not increased, but they have actually decreased.

截至 2025 年，軟件開發人員的工作崗位不僅沒有增加，反而有所減少。

Now the round of layoffs in the tech sector, Microsoft announcing it is laying off about 5% of its workforce.

現在，微軟宣佈裁員約 5%，這又是一輪科技行業的裁員潮。

Meta, owner of Facebook, is trimming 5% of its workforce.

Facebook 的所有者 Meta 正在裁員 5%。

Alphabet is the latest tech giant to trim thousands of jobs.

Alphabet 是最新一家裁員數千人的科技巨頭。

Over 110,000 software developers have been laid off globally.

全球已有超過 11 萬名軟件開發人員被解僱。

This data reflects the continuation of a concerning trend in the tech sector, where layoffs have been significant in recent times.

這一數據反映出科技行業令人擔憂的趨勢仍在繼續，近來該行業裁員現象嚴重。

Software developers now find themselves in a highly competitive environment, where innovation and adaptability are no longer just advantages, but basic requirements to survive in the job market.

現在，軟件開發人員發現自己處於一個競爭激烈的環境中，創新和適應能力不再僅僅是優勢，而是在就業市場上生存的基本要求。

Leading companies, which once represented the dream of any software professional, have begun massive restructuring.

曾經是所有軟件專業人員夢寐以求的龍頭企業已開始大規模重組。

Meta, for example, announced the elimination of 16,000 jobs as part of its focus on artificial intelligence, a technology that is redefining market demands.

例如，Meta 公司宣佈裁員 16000 人，作為其專注於人工智能技術的一部分，這項技術正在重新定義市場需求。

So is this the end of software developers?

And what is their future in the workforce?

For years, software developers were considered one of the key components of the tech sector.

多年來，軟件開發人員一直被認為是科技行業的重要組成部分之一。

From the late 1990s until the early 2020s, the demand for these professionals grew exponentially.

從 20 世紀 90 年代末到 20 世紀 20 年代初，對這些專業人員的需求成倍增長。

In 2000, the world was just beginning to experiment with the internet, and the need to create new applications and web services skyrocketed the hiring of programmers.

2000 年，全球剛剛開始嘗試使用互聯網，創建新應用程序和網絡服務的需求使程序員的招聘數量激增。

By 2015, software development had become a high-demand field, and universities and technical schools were filled with students interested in pursuing this career.

到 2015 年，軟件開發已成為一個高需求領域，大學和技術學校裡擠滿了有志於從事這一職業的學生。

However, as artificial intelligence advanced by leaps and bounds, especially in recent years, the landscape began to change.

然而，隨著人工智能的突飛猛進，特別是近年來的發展，這種格局開始發生變化。

In 2020, companies like Google, Microsoft, and OpenAI began developing AI models which could generate code almost autonomously.

2020 年，谷歌、微軟和 OpenAI 等公司開始開發幾乎可以自主生成代碼的人工智能模型。

如果還沒有，那就做好準備吧。

Because this promises to be the viral sensation that could completely reset how we do things.

因為這有望成為病毒式的轟動，徹底改變我們的生活方式。

It is the embryonic version of online artificial intelligence, the early frontrunner that reportedly has just secured a $10 billion shot in the arm from Microsoft.

它是在線人工智能的雛形，是早期的領跑者，據說剛剛獲得微軟 100 億美元的注資。

This advancement was a sign that AI could take over many of the tasks that were previously reserved for human developers.

這一進步表明，人工智能可以接管許多以前由人類開發人員承擔的任務。

The year 2023 marked a turning point in the industry.

2023 年標誌著該行業的一個轉捩點。

Tools like GitHub Copilot, powered by OpenAI, began assisting developers by generating complete code snippets with just a few lines of input.

由 OpenAI 提供支持的 GitHub Copilot 等工具開始協助開發人員，只需輸入幾行代碼就能生成完整的代碼片段。

And I'm so excited to show you how Microsoft 365 Copilot is coming to life in the products millions of people use and rely on every day.

我很高興能向大家展示 Microsoft 365 Copilot 是如何在數百萬人每天使用和依賴的產品中發揮作用的。

Although initially these tools were seen as helpful add-ons, it didn't take long for experts to realize their potential to replace human jobs in programming.

雖然這些工具最初被視為有用的附加工具，但不久專家們就意識到它們有可能取代人類的編程工作。

Companies began reducing their software development staff due to AI's ability to perform the work with less human intervention.

由於人工智能能夠在減少人工干預的情況下完成工作，公司開始減少軟件開發人員。

By 2025, many sectors of the tech industry were already in the midst of a radical transformation.

到 2025 年，科技行業的許多領域已經處於徹底變革之中。

A study in 2024 revealed that 32% of tech companies had already implemented AI tools to automate programming tasks.

2024 年的一項研究顯示，32% 的科技公司已經採用了人工智能工具來自動完成編程任務。

Large companies like Meta, Google, and Amazon are massively adopting AI to write code, test software, and maintain systems, leading to a drastic decrease in the demand for traditional developers.

Meta、谷歌和亞馬遜等大公司正在大量採用人工智能來編寫代碼、測試軟件和維護系統，從而導致對傳統開發人員的需求急劇下降。

In 2025, Meta laid off more than 10,000 employees, of which approximately 15% were software engineers, as part of a restructuring aimed at integrating more AI-based tools.

2025 年，作為旨在整合更多人工智能工具的重組的一部分，Meta 裁員超過 10,000 人，其中約 15%為軟件工程師。

In February 2025, Workday laid off 1,750 employees, approximately 8.5% of its global workforce.

2025 年 2 月，Workday 裁員 1750 人，約佔其全球員工總數的 8.5%。

Salesforce and Cruise and Workday announced they're going to make cuts.

Salesforce 和 Cruise 以及 Workday 宣佈將進行裁員。

An analysis indicated that the adoption of AI in its software development process contributed to these layoffs.

分析表明，在軟件開發過程中採用人工智能是裁員的原因之一。

In January 2025, Salesforce eliminated more than 1,000 jobs, with a 15% reduction in its software engineering team, citing the efficiency of AI tools.

2025 年 1 月，Salesforce 裁員 1000 多人，軟件工程團隊裁員 15%，理由是人工智能工具提高了效率。

Salesforce, they're cutting more than 1,000 jobs, and instead they're going to hire salespeople to sell their artificial intelligence products.

Salesforce，他們將裁員 1000 多人，轉而僱傭銷售人員來銷售他們的人工智能產品。

Moreover, layoffs of these professionals are not limited to tech companies, but are occurring across all types of businesses. 45% of non-tech companies plan to replace part of their development teams with AI technologies in the next three to five years.

此外，這些專業人員的裁員並不僅限於科技公司，而是發生在所有類型的企業中。45%的非科技公司計劃在未來三到五年內用人工智能技術取代部分開發團隊。

Layoffs of software engineers, once newsworthy due to their rarity, have now become a constant.

軟件工程師裁員曾因其罕見性而備受關注，如今已成為一種常態。

For example, Meta laid off thousands of employees in 2025, citing the integration of AI tools to optimize their workflow.

例如，Meta 公司在 2025 年裁員數千人，理由是要整合人工智能工具來優化工作流程。

Artificial intelligence is transforming programming, allowing people with no prior knowledge to create lines of code for complex applications and games using natural language instructions.

人工智能正在改變編程方式，讓沒有任何編程知識的人也能使用自然語言指令為複雜的應用程序和遊戲創建代碼。

All that work that was previously done by software developers can now be performed by AI, meaning this technology has already taken away hundreds of thousands of jobs and will continue to do so in the coming decades if the pace of technological advancement remains so fast.

以前由軟件開發人員完成的所有工作，現在都可以由人工智能來完成，這意味著這項技術已經奪走了數十萬個工作崗位，如果技術進步的步伐依然如此之快，那麼在未來幾十年內，這項技術還將繼續奪走這些工作崗位。

Many tasks that previously required entire teams of developers can now be handled by automated systems.

許多以前需要整個開發團隊完成的任務，現在都可以由自動化系統來處理。

Additionally, companies are looking to reduce costs and increase efficiency, which leads to the elimination of staff whose roles can be replaced or outsourced.

此外，企業還希望降低成本、提高效率，這就需要裁減那些其職能可以被替代或外包的員工。

It can help you with your homework, and it can help businesses save billions.

它可以幫助你完成作業，也可以幫助企業節省數十億美元。

This technology can boost productivity over time by over $230 billion.

隨著時間的推移，這項技術可提高生產力 2300 多億美元。

This, combined with the fact that companies have shifted their priorities to cost reduction, has led to the rapid growth of tech companies during the last decade, hiring large teams without fully considering long-term sustainability.

再加上企業已將工作重點轉移到降低成本上，導致科技公司在過去十年中迅速發展，僱用了大量團隊，卻沒有充分考慮長期可持續性。

Now, with a more uncertain economic landscape, organizations are adjusting their structures and eliminating roles considered non-essential.

現在，隨著經濟形勢更加不確定，各組織正在調整其結構，取消被認為非必要的角色。

On one hand, the advancement of such technologies allows for increased efficiency and productivity in businesses, but it comes at the cost of eliminating jobs for software developers.

一方面，這些技術的進步提高了企業的效率和生產率，但同時也以軟件開發人員失業為代價。

Despite automation, human experience remains crucial.

儘管實現了自動化，但人類的經驗仍然至關重要。

Developers now focus more on strategic tasks, such as system architecture, solution integration, and overseeing AI tools.

開發人員現在更專注於戰略任務，如系統架構、解決方案集成和監督人工智能工具。

Moreover, creativity and the ability to solve complex problems remain indispensable human skills.

此外，創造力和解決複雜問題的能力仍然是人類不可或缺的技能。

Collaboration between humans and machines has created an environment where AI becomes a tool that enhances the developers' capabilities rather than completely replacing them.

人類與機器之間的合作創造了一種環境，使人工智能成為增強開發人員能力的工具，而不是完全取代他們。

This phenomenon does not signify the total end of software developers, but it does mark a significant change.

這一現象並不意味著軟件開發人員的徹底終結，但確實標誌著一個重大變化。

Developers must now adapt and learn how to work alongside AI, taking on more strategic and supervisory roles, while repetitive and basic tasks are increasingly automated.

開發人員現在必須適應並學會如何與人工智能並肩作戰，承擔起更具戰略性和監督性的角色，而重複性的基本任務則越來越多地實現自動化。

The profession, though still relevant, faces an uncertain future, where the ability to interact with AI systems may become more important than in-depth knowledge of traditional programming languages.

在未來，與人工智能系統互動的能力可能比深入掌握傳統編程語言更為重要。

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